A graduate-level course covering the theory and algorithms for optimization in machine learning. It explores topics like convex and non-convex optimization, gradient-based methods, and stochastic optimization.
Master machine learning basics without spending a dime. High-quality free courses from Google, Kaggle, StatQuest, and top educators. Perfect for beginners starting their ML journey.
Start your journey into ai optimization with foundational concepts and hands-on exercises designed for newcomers.
Log in to write a review
Loading reviews...
Explore more courses and learning paths related to Optimization for Machine Learning.
Browse more courses from Carnegie Mellon University
More intermediate-level AI and ML courses
Follow the full Free Machine Learning Fundamentals learning path
Browse 350+ structured AI learning paths from beginner to advanced
Provided by Carnegie Mellon University
Pricing:
Pricing varies. Check course page for details.